oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark onednn.

Project Site

github.com

Test Created

17 June 2020

Last Updated

20 December 2020

Test Maintainer

Michael Larabel

Test Type

Processor

Average Install Time

9 Minutes, 3 Seconds

Average Run Time

2 Minutes, 2 Seconds

Accolades

5k+ Downloads

Supported Platforms

Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsoneDNN Popularity Statisticspts/onednn2020.062020.072020.082020.092020.102020.112020.122021.014K8K12K16K20K
* Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data current as of Mon, 18 Jan 2021 15:01:31 GMT.
Deconvolution Batch shapes_3d11.4%Recurrent Neural Network Training15.9%IP Shapes 1D11.5%Convolution Batch Shapes Auto11.5%Matrix Multiply Batch Shapes Transformer11.3%Recurrent Neural Network Inference15.7%IP Shapes 3D11.5%Deconvolution Batch shapes_1d11.4%Harness Option PopularityOpenBenchmarking.org
bf16bf16bf1614.1%u8s8f3240.0%f3245.9%Data Type Option PopularityOpenBenchmarking.org

Revision History

pts/onednn-1.6.1   [View Source]   Sun, 20 Dec 2020 09:58:16 GMT
This test profile builds and works fine on macOS so enable it (MacOSX).

pts/onednn-1.6.0   [View Source]   Wed, 09 Dec 2020 13:47:31 GMT
Update against oneDNN 2.0 upstream.

pts/onednn-1.5.0   [View Source]   Wed, 17 Jun 2020 16:26:39 GMT
Initial commit of oneDNN test profile based on Intel oneDNN 1.5, forked from existing mkl-dnn test profile that is named from MKL-DNN before it was renamed to DNNL and then oneDNN. So create new test profile to match Intel naming convention.

Suites Using This Test

Multi-Core

Machine Learning

Intel oneAPI

CPU Massive

Server CPU Tests

Creator Workloads

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

oneDNN 1.5

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 551 public results since 17 June 2020 with the latest data as of 1 December 2020.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component
Percentile Rank
# Matching Public Results
ms (Average)
2 x AMD EPYC 7742 64-Core
100th
17
0.7 +/- 0.1
2 x AMD EPYC 7642 48-Core
97th
4
0.7
2 x AMD EPYC 7542 32-Core
95th
5
0.8
2 x AMD EPYC 7552 48-Core
95th
6
0.8
2 x AMD EPYC 7532 32-Core
94th
5
0.9
2 x AMD EPYC 7502 32-Core
94th
4
0.9
2 x AMD EPYC 7F72 24-Core
93rd
5
0.9
2 x AMD EPYC 7452 32-Core
91st
5
1.0
2 x AMD EPYC 7402 24-Core
91st
4
1.0
2 x AMD EPYC 7F52 16-Core
89th
9
1.1
2 x AMD EPYC 7352 24-Core
89th
4
1.2
AMD EPYC 7642 48-Core
88th
5
1.5
AMD Ryzen Threadripper 3990X 64-Core
87th
3
1.6
AMD EPYC 7532 32-Core
86th
5
2.0
2 x AMD EPYC 7F32 8-Core
85th
7
2.0
AMD EPYC 7F72 24-Core
84th
6
2.0
AMD EPYC 7552 48-Core
83rd
5
2.1
AMD EPYC 7F52 16-Core
82nd
5
2.2
AMD EPYC 7662 64-Core
81st
5
2.3
AMD EPYC 7702 64-Core
80th
5
2.7
AMD EPYC 7502 32-Core
78th
3
2.9
AMD EPYC 7502P 32-Core
76th
10
3.0 +/- 0.2
Mid-Tier
75th
> 3.0
AMD EPYC 7452 32-Core
75th
5
3.2
AMD EPYC 7542 32-Core
74th
4
3.2
AMD EPYC 7352 24-Core
73rd
5
3.3
AMD EPYC 7402P 24-Core
73rd
11
3.3 +/- 0.4
AMD EPYC 7302P 16-Core
73rd
10
3.3 +/- 0.4
2 x AMD EPYC 7262 8-Core
72nd
6
3.4
2 x Intel Xeon Gold 6258R
70th
3
3.9
2 x Intel Xeon Platinum 8280
67th
7
4.2 +/- 0.9
Intel Xeon Gold 6226R
67th
5
4.3
AMD EPYC 7F32 8-Core
66th
5
4.6
Intel Xeon Gold 5218
65th
4
4.7
AMD EPYC 7262 8-Core
63rd
3
4.9
AMD Ryzen Threadripper 3970X 32-Core
63rd
5
5.2 +/- 0.4
2 x Intel Xeon Gold 6138
62nd
3
5.3
2 x AMD EPYC 7272 12-Core
60th
3
5.6 +/- 0.1
Intel Xeon Silver 4214R
59th
3
5.8
2 x AMD EPYC 7252 8-Core
58th
5
5.8
Intel Xeon Silver 4216
58th
7
5.9 +/- 0.7
2 x Intel Xeon Silver 4214R
57th
3
6.1
AMD EPYC 7282 16-Core
56th
5
6.1
Intel Xeon Gold 5217
55th
8
6.2
AMD EPYC 7272 12-Core
53rd
3
6.2
2 x AMD EPYC 7282 16-Core
53rd
7
6.5 +/- 1.5
2 x Intel Xeon Silver 4210R
53rd
3
6.5
2 x Intel Xeon Silver 4210
51st
3
6.6
Median
50th
6.6
AMD EPYC 7252 8-Core
50th
3
6.6
AMD EPYC 7232P 8-Core
50th
11
6.9 +/- 0.7
2 x Intel Xeon Silver 4215R
49th
3
7.0
2 x Intel Xeon Gold 5220R
49th
8
7.1
Intel Xeon Silver 4215R
48th
3
7.3
AMD Ryzen Threadripper 3960X 24-Core
46th
7
8.8 +/- 0.7
Intel Core i9-10980XE
43rd
19
9.8 +/- 0.1
Intel Core i7-7900X
41st
3
10.6
AMD Ryzen 9 5900X 12-Core
36th
13
15.5 +/- 1.7
AMD Ryzen 9 5950X 16-Core
33rd
7
16.4 +/- 0.2
Intel Core i5-10600K
33rd
9
16.5 +/- 3.8
Intel Core i7-9700TE
32nd
5
16.7 +/- 0.3
Intel Xeon E-2288G
31st
7
17.1 +/- 0.1
AMD Ryzen 9 3900X 12-Core
30th
8
17.3
AMD Ryzen 5 5600X 6-Core
28th
5
18.0 +/- 0.4
AMD Ryzen 7 5800X 8-Core
27th
6
18.9 +/- 0.7
AMD Ryzen 3 1300X
27th
3
18.9 +/- 0.4
Low-Tier
25th
> 19.4
AMD Ryzen 3 3100 4-Core
25th
6
19.8 +/- 0.7
Intel Xeon E3-1245 v5
24th
3
19.9
Intel Core i7-5775C
22nd
4
20.7 +/- 0.4
AMD Ryzen 9 3950X 16-Core
22nd
3
20.9 +/- 0.1
Intel Xeon E3-1280 v5
21st
3
20.9 +/- 0.1
Intel Core i7-7700K
18th
3
21.5 +/- 0.2
Intel Xeon E3-1270 v5
17th
3
22.0
AMD Ryzen 7 1700 Eight-Core
15th
4
22.6 +/- 1.1
AMD Ryzen 7 3800XT 8-Core
14th
3
23.0 +/- 0.2
AMD Ryzen 7 3700X 8-Core
14th
5
23.0 +/- 3.3
Intel Core i9-10900K
12th
18
23.2 +/- 3.9
AMD Ryzen 7 2700 Eight-Core
12th
3
23.4 +/- 0.2
AMD Ryzen 9 3900XT 12-Core
11th
6
23.8 +/- 3.2
Intel Xeon E3-1260L v5
11th
3
24.0 +/- 0.2
Intel Core i7-6700HQ
9th
3
26.9 +/- 0.6
Intel Core i7-4790K
8th
4
28.4 +/- 3.1
AMD Ryzen 5 4500U
7th
6
29.4 +/- 2.4
Intel Core i7-4558U
7th
3
30.2 +/- 0.8
Intel Core i5-5300U
5th
3
34.6 +/- 0.7
Intel Core i7-4960X
4th
3
38.5
AMD Ryzen 3 3200U
3rd
3
48.6 +/- 2.1
Intel Core i5-2520M
1st
3
72.0 +/- 17.0
Ampere eMAG ARMv8 32-Core
1st
3
248.0
OpenBenchmarking.orgDistribution Of Public Results - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU551 Results Range From 0 To 558 ms024487296120144168192216240264288312336360384408432456480504528552576110220330440550

Based on OpenBenchmarking.org data, the selected test / test configuration (oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU) has an average run-time of 2 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkHarness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun-Time246810Min: 1 / Avg: 1 / Max: 1

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsHarness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUDeviation246810Min: 0 / Avg: 0.55 / Max: 4

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